Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Combining document representations for known-item search
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Combining the language model and inference network approaches to retrieval
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Deriving marketing intelligence from online discussion
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
A generative retrieval model for structured documents
Proceedings of the 17th ACM conference on Information and knowledge management
Automatic scoring of online discussion posts
Proceedings of the 2nd ACM workshop on Information credibility on the web
Foundations and Trends in Databases
Incorporating site-level knowledge to extract structured data from web forums
Proceedings of the 18th international conference on World wide web
It pays to be picky: an evaluation of thread retrieval in online forums
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Online community search using thread structure
Proceedings of the 18th ACM conference on Information and knowledge management
Scope of ontological annotation in e-commerce
International Journal of Business Information Systems
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Community generated content, or social media, has become increasingly important over the past several years. Social media sites such as blogs, twitter and online discussion boards have been recognized as valuable sources of market intelligence for companies wishing to keep abreast of their customers' attitudes expressed online. There has been little focus, however, on providing a similar service to potential customers. In this paper we present a system for aiding consumers with their product research by providing access to community generated content. We focus specifically on online forums or message boards, which are particularly useful for product research. These web sites often host discussion among users with first-hand product experiences, expert users and enthusiasts. The system presented here is designed to integrate with a shopping search portal, providing access to online forums that are likely to have a significant amount of discussion relating to a user's expressed interest in product brands and categories. We describe this system and present experiments showing that in the context of a shopping search engine, the proposed system is preferred or equivalent to results from a web search engine 80% of the time and achieves accuracy at the top ranked result of 85%.